Improved object detection
Accurate annotations allow AI models to identify and track objects within videos, enhancing performance in tasks like management or visual search.
How we can help
At the core of our outsourcing video annotation services lies a commitment to providing precise solutions. We deliver comprehensive video annotation techniques to meet your unique project requirements.
Speed is essential when working with large volumes of data. We ensure fast and efficient labeling so your projects stay on schedule while maintaining accuracy.
Our experts create well-defined bounding boxes for effective object detection and tracking. This method is vital for self-driving vehicles, retail analytics, and more use cases.
For projects requiring depth and spatial understanding, our 3D cuboid annotations offer accurate representations of objects, ideal for robotics, AR/VR, and others.
Our experienced specialists provide pixel-level labeling for a deeper contextual understanding of each scene to distinguih objects accurately.
By marking critical points such as joints and object features, we aid AI models focused on body movement analysis, gesture recognition, and facial identification.
For projects requiring precise tracking of paths, edges, or lanes, our lines and splines video annotation services deliver clear and detailed results.
Our polygon annotation service captures even the most irregularly shaped objects, ensuring that your AI systems can accurately detect and classify these items.
Whether it’s facial features or key landmarks on a map, we provide precise landmark annotations that enhance your models’ recognition capabilities.
Why Video annotation matters
Video annotation services are necessary for creating AI systems that truly understand and interact with real-world environments. Discover why it matters in more detail.
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Enhanced decision-making
With precise labeling and detailed analysis, video annotation provides AI systems with the contextual understanding needed for more informed decisions.
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Better accuracy
Video annotation services capture dynamic environments and complex interactions, enabling AI models to recognize patterns and behaviors more accurately.
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Training for advanced cases
From facial recognition to gesture analysis, efficient video annotation supports training for a wide range of AI applications across various industries.
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Scalable AI solutions
Reliable video annotation services help scale AI systems by providing high-quality annotations, ensuring reliable and adaptable solutions.
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Optimized performance
Continuous video annotation allows AI systems to improve and adapt by learning from updated data, leading to better performance and more advanced results.
Our audience base
Our outsource video annotation services cover many clients, from growing startups to established enterprises. Therefore, we can partner at any stage of your business.
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Startups
We provide flexible and scalable video annotation solutions to help startups build or refine their AI models, giving them the tools they need to compete on the market and grow.
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Small & medium businesses (SMBs)
Our robust video annotation services support SMBs in boosting their AI-driven operations with high-quality annotations that fit their budget and business goals.
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Enterprises
We deliver reliable and accurate video annotation solutions at scale, helping enterprises optimize their AI systems for advanced and complex tasks.
Industries we work with
Our video annotation services support a diverse range of industries. So, we help various organizations improve their AI capabilities.
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Government
We assist government agencies in creating AI video annotation for public safety and administrative processes.
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Healthcare
From imaging to monitoring, our annotations enable precise analysis and improved healthcare outcomes.
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Transportation
We power AI systems in autonomous vehicles, traffic management, and logistics with video annotations.
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Financial organizations
Our robust services provide fraud detection, risk management, and automated financial processes.
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E-commerce
We improve product recognition and recommendation systems with our video annotation services.
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Social media
Our services enhance content moderation and user engagement with precise tagging and analysis.
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Insurance
We provide annotations to assist in claim assessments, risk analysis, and automated decision-making.
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Security
Our team helps develop advanced threat detection and monitoring systems through reliable video annotation.
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Legal
We support legal firms with annotated video evidence, facilitating case analysis and automated processes.
Our operational flow
At our video annotation company, our specialists follow a progressive process to guarantee accurate and efficient video annotation services.
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We work closely with clients to define clear annotation guidelines and project objectives, ensuring all requirements are understood before starting.
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Our skilled team uses advanced tools to meticulously label video frames, ensuring accuracy and consistency according to the predefined guidelines.
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We conduct multiple rounds of quality checks to verify that all annotations meet the specified guidelines and correct any errors to ensure a reliable dataset.
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Our specialists engage clients throughout the process, incorporating their feedback to refine annotations and adapt to any changing project needs.
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Finalized annotations are optimized for seamless integration with AI models, facilitating smooth model training and deployment.
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We support ongoing improvement by monitoring AI model performance and refining annotations to maintain accuracy and effectiveness.
What sets us apart
Accuracy, efficiency, and customization are the vital pillars of our professional video annotation company. That’s why clients trust us as a reliable partner.
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Expertise and precision
Our skilled team delivers high-quality annotations tailored to your demands, ensuring your AI models are built on reliable data.
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Flexible solutions
Our video annotation company offers scalable services that adapt to projects of any size, whether you’re a startup or an enterprise.
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Speed and efficiency
We understand the importance of deadlines. Our rapid annotation process ensures your projects stay on track without sacrificing accuracy.
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Quality control
At Tinkogroup, our experienced specialists conduct rigorous quality checks, ensuring consistent and top-tier results.
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Progressive tools
Our experts use the latest annotation tools and methods to deliver results that are accurate and aligned with industry best practices.
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Dedicated support
We’re committed to ensuring exceptional customer service, offering continuous support and clear communication throughout your project.
Feedback from our customers
At our Video annotation company, we pride ourselves on delivering exceptional results and exceeding our clients’ expectations. Check our clients’ experience to be sure of our Video annotation.
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They also show a great ability to understand and get up to speed on more complex industry knowledge
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We're satisfied with how our collaboration has gone.
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The quality and speed of their work exceeded our expectations.
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The team showcased flexibility in accommodating unforeseen circumstances or changing project dynamics.
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I'm mostly impressed by Tinkogroup's young and enthusiastic staff.
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I had a great experience working with them. Their work was of great quality, they were always responsive, and they delivered the project on time. I highly recommend their services to anyone in need of assistance.
Insights from Tinkogroup experts
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Video annotation – FAQ
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Annotating videos covers breaking footage into frames and labeling key elements like objects or actions. Use tools that offer bounding boxes, polygons, or keypoints. Apply labels across similar elements. Ensure accuracy with quality checks, which is vital for training AI models reliant on this data.
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Annotation services involve systematically labeling and tagging data (text, images, audio, or video) to make it understandable for AI and machine learning algorithms. These services cover tasks like text categorization, object detection in images, sentiment analysis, and video frame labeling.
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This role is integral to creating high-quality datasets for training AI models in various fields, including self-driving vehicles, robotics, and security. Video annotators must have a keen eye for detail, consistency in labeling, and the ability to understand complex instructions.
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Video annotation is the process of labeling and tagging objects, activities, or events in video frames to train AI and machine learning models. This can involve marking moving objects with bounding boxes, identifying specific behaviors, or segmenting frames into categories.
